New approach for diagnosing left ventricular hypertrophy cardiac disease using fuzzy inference system

Sameer K. Salih, S. A. Aljunid, Syed Mohamed Al-Junid Syed Junid, Oteh Maskon

Research output: Contribution to journalArticle

Abstract

This study presents a new fuzzy inference system for diagnosing left ventricular hypertrophy cardiac disease based on the proposed diagnostic criterion. In contrast to the conventional diagnostic criteria, the main decision of proposed criterion includes three logical expressions. Two of them are determined by a combination of classic criteria, whereas the third expression is obtained directly using eight voltages of the electrocardiogram leads and takes two different levels for each gender. All expressions are represented by the membership functions in a fuzzy inference system. The proposed diagnostic approach is validated by 34 records from St Petersburg INCART 12-Lead Arrhythmia Database and 16 reconstructed records from the printed chart diagram using digital data recovery. The total validated samples include 21 data with left ventricular hypertrophy and 29 data with other cardiac diseases and some normal samples. The simulation results prove that the proposed system performs perfect sensitivity, specificity, and accuracy of diagnosing left ventricular hypertrophy.

Original languageEnglish
Pages (from-to)848-857
Number of pages10
JournalJournal of Medical Imaging and Health Informatics
Volume4
Issue number6
DOIs
Publication statusPublished - 1 Dec 2014

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Left Ventricular Hypertrophy
Heart Diseases
Cardiac Arrhythmias
Electrocardiography
Databases
Sensitivity and Specificity

Keywords

  • ECG Diagnosis
  • Fuzzy Inference System
  • Grouping Diagnostic Criteria
  • Left Ventricular Hypertrophy

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Health Informatics

Cite this

New approach for diagnosing left ventricular hypertrophy cardiac disease using fuzzy inference system. / Salih, Sameer K.; Aljunid, S. A.; Syed Junid, Syed Mohamed Al-Junid; Maskon, Oteh.

In: Journal of Medical Imaging and Health Informatics, Vol. 4, No. 6, 01.12.2014, p. 848-857.

Research output: Contribution to journalArticle

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